Director of AI Engineering

Lumen Resources; Orlando (FL); Hybrid; USD 180,000 - 280,000; Full time

Job summary

Lumen Resources in Orlando, FL seeks a seasoned AI engineering leader to drive a multi-year AI strategy across engineering. You will hire, mentor, and scale teams, set standards for genAI, embeddings, RAG, and intelligent automation.

Lead AI capabilities in mobile apps across iOS and Android, govern model usage, and collaborate with product and leadership to align AI initiatives with enterprise goals while delivering production-quality solutions.

Qualifications

• 10+ years of software engineering experience across backend, APIs, and mobile.
• 3+ years in an engineering leadership role with direct reports.
• Proven ability to build high-performing engineering teams.
• Hands-on AI/ML capabilities including LLM APIs, embeddings, RAG patterns.
• Experience with cloud-native patterns, microservices, CI/CD, automation.
• Strong executive communication; can influence at VP/C-suite level.
• Ability to balance technical credibility with strategic scope.

Responsibilities

• Hire and mentor a team of AI and full-stack engineers and set performance expectations.
• Define multi-year AI adoption vision and governance.
• Lead AI capabilities in mobile apps across iOS and Android, and cross-platform frameworks.
• Establish model governance frameworks and responsible AI standards.
• Translate technical work to business impact for executive stakeholders.
• Review end-to-end solution designs across UI, APIs, data pipelines.

Skills

Software engineering

Engineering leadership

Team building

AI/ML delivery

LLM APIs

Cloud-native

CI/CD

Executive communication

Strategic influence

Job description

Hybrid in Orlando, FL ( 3 days onsite, 2 days remote)

Responsibilities:

• Hire, mentor, and develop a team of AI and full-stack engineers. Set performance expectations, run career development conversations, and build a culture of craft, collaboration, and psychological safety. Define org structure and hiring roadmap as the function scales.
• Own the multi-year vision for AI adoption across engineering. Define standards, patterns, and best practices for genAI, embeddings, RAG, agent workflows, and intelligent automation. Partner with architecture, product, and business leadership to align AI strategy with enterprise goals.
• Lead the strategy and delivery of AI capabilities embedded in mobile applications, across iOS, Android, and cross-platform frameworks. Partner with product and design to identify where on-device intelligence, conversational interfaces, and AI-assisted workflows create genuine value for mobile users. Establish mobile-specific patterns for model integration, latency management, offline-capable inference, and responsible data handling, ensuring AI features meet enterprise security and performance standards on the device.
• Establish model governance frameworks, scalable lifecycle practices, and responsible AI standards across the organization. Ensure AI initiatives are secure, compliant, and aligned with enterprise architecture guidelines and SLA commitments.
• Serve as the primary AI engineering voice in executive and cross-functional conversations. Translate technical complexity into business impact, influence product roadmaps, and build trust across engineering, architecture, and business leadership.
• Review and guide end-to-end solution design across UI, APIs, microservices, middleware, and data pipelines. Provide technical direction on high-stakes decisions, evaluate build vs. buy tradeoffs, and ensure your team delivers stable, reusable, production-quality AI solutions.

Requirements:

• 10+ years of software engineering experience, including full-stack depth (backend, APIs, and Mobile)
• 3+ years in an engineering leadership role with direct reports, hiring, growing, and evaluating engineers
• Proven ability to build high-performing engineering teams, not just manage them
• Hands-on experience delivering AI/ML capabilities: LLM APIs, embeddings, RAG patterns, agent workflows, or intelligent automation
• Experience with cloud-native application patterns, microservices, middleware, CI/CD, automation
• Strong executive communication skills; comfortable influencing at the VP and C-suite level
• Ability to hold technical credibility while operating at a strategic altitude